/Vehicle-Counter-VCNET

Vehicle Counting System with One-Dimensional Deep Learning

Apache License 2.0Apache-2.0

Vehicle-Counter-VCNET

method proposes a low-cost solution for vehicle counting in highway images. This approach, which considers the problem as a deep learning-based classification problem, classifies the signature differences created by road and vehicle sections

M-30HD highway performance Watch the video

Izmit highway performance Watch the video

Install

Use the package manager pip to install requirements

pip install -r requirements.txt

Inferance

Roi Selection

run below command, follow instructions and save roi's as a json file

python3 roiSelector.py --video M30-HD.avi --name M30-HD

Roi selection

output json will generated named as M30-HD.json

Video inferance

run below command for inferance

python3 main.py --video M30-HD.avi --json M30-HD.json --model model/vehicle_counter.h5

VCNET